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Étude comparative des paramètres d'entrée pour la synthèse expressive audiovisuelle de la parole par DNNs (Comparative study of input parameters for DNN-based expressive audiovisual speech synthesis ).

, , and . JEP-TALN-RECITAL (1), page 127-135. ATALA et AFCP, (2020)

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Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis., , and . INTERSPEECH, page 4397-4401. ISCA, (2020)Automatic pitch marking for speech transformations via TD-PSOLA., and . EUSIPCO, page 1-4. IEEE, (1998)DNN-Based Speech Synthesis for Arabic: Modelling and Evaluation., , , and . SLSP, volume 11171 of Lecture Notes in Computer Science, page 9-20. Springer, (2018)Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS., , and . CoRR, (2023)Some consideration on expressive audiovisual speech corpus acquisition using a multimodal platform., , and . Lang. Resour. Evaluation, 54 (4): 943-974 (2020)On the quality of an expressive audiovisual corpus: a case study of acted speech., , and . AVSP, page 53-57. ISCA, (2017)Learning emotions latent representation with CVAE for text-driven expressive audiovisual speech synthesis., , , and . Neural Networks, (2021)\(F_0\) Modeling Using DNN for Arabic Parametric Speech Synthesis., , , and . INNSBDDL, page 186-195. Springer, (2019)Improving transfer of expressivity for end-to-end multispeaker text-to-speech synthesis., , and . EUSIPCO, page 31-35. IEEE, (2021)Linguistic features weighting for a text-to-speech system without prosody model., and . INTERSPEECH, page 2549-2552. ISCA, (2005)